Publication:
Review of Partial Discharge Signal Processing and Monitoring System using Virtual Instrument Software
Review of Partial Discharge Signal Processing and Monitoring System using Virtual Instrument Software
| cris.author.scopus-author-id | 37018547000 | |
| cris.author.scopus-author-id | 16642710600 | |
| cris.author.scopus-author-id | 24447820000 | |
| cris.author.scopus-author-id | 56878313200 | |
| cris.author.scopus-author-id | 57189241581 | |
| dc.contributor.author | Nazifah Abdullah A. | |
| dc.contributor.author | Isa M. | |
| dc.contributor.author | Ismail B. | |
| dc.contributor.author | Abdullah A.Z. | |
| dc.contributor.author | Rohani M.N.K.H. | |
| dc.date.accessioned | 2024-09-27T01:41:40Z | |
| dc.date.available | 2024-09-27T01:41:40Z | |
| dc.date.issued | 2021-06-11 | |
| dc.description.abstract | Most of Partial Discharge (PD) processing systems have been developed using virtual instrument to analyse raw measured PD signal. However, some of researchers had neglected the denoising or recognition technique and only focussed on PD location estimation and vice versa This paper reviews an overview of denoising recognition techniques, denoising analysis, PD sensors, location methods and type of virtual instruments in published PD signal processing signal system. A perfect PD analysis system is more beneficial if both PD denoising and locating are applied in the system. Based on this review, the new design of PD signal processing system based on DWT denoising technique and RC sensor using LabVIEW Software for underground power cable using SCTM as PD location algorithm is proposed. | |
| dc.identifier.doi | 10.1088/1742-6596/1878/1/012052 | |
| dc.identifier.scopus | 2-s2.0-85108608689 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14170/4292 | |
| dc.relation.grantno | undefined | |
| dc.relation.ispartof | Journal of Physics: Conference Series | |
| dc.relation.ispartofseries | Journal of Physics: Conference Series | |
| dc.relation.issn | 17426588 | |
| dc.rights | open access | |
| dc.subject | De-noising | Denoising | Location | Monitoring System | Partial Discharge | Processing System | Statistical Analysis | |
| dc.title | Review of Partial Discharge Signal Processing and Monitoring System using Virtual Instrument Software | |
| dc.type | Conference Proceeding | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 1 | |
| oaire.citation.volume | 1878 | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.citation.number | 012052 | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.scopus-author-id | 37018547000 | |
| person.identifier.scopus-author-id | 16642710600 | |
| person.identifier.scopus-author-id | 24447820000 | |
| person.identifier.scopus-author-id | 56878313200 | |
| person.identifier.scopus-author-id | 57189241581 |